Research on Land Use Classification of Land Change Survey for the Integration of Urban Planning and Land Resource Administration

Qi Liao (), Mo Su (), Ganghui Luo () and Xiaowu Wei ()
Additional contact information
Qi Liao: Shenzhen Urban Planning & Land Resource Research Center
Mo Su: Shenzhen Urban Planning & Land Resource Research Center
Ganghui Luo: Shenzhen Urban Planning & Land Resource Research Center
Xiaowu Wei: Shenzhen Urban Planning & Land Resource Research Center

Chapter Chapter 21 in Proceedings of the 17th International Symposium on Advancement of Construction Management and Real Estate, 2014, pp 197-205 from Springer

Abstract: Abstract The integration of urban planning and land resource administration in Shenzhen city make an urgent requirement for data integration. Therefore the integration of urban land classification standard and land use classification standard is discussed in this paper. After analyzing the differences and similarities between these two standards, a series of key points are discussed, such as the principles of integration, the relationship between two or more land types, subdivision, combination and coding of land types. Finally, a new land use classification of land change survey is made, and a one to one relation between two standards can be established through this classification. The application of this new classification in land change and urban construction land survey in 2011 indicated that not only two kinds of data can be acquired from one survey, but also made a solid foundation for the seamless integration of urban planning and land resource administration at data acquisition level. Meanwhile, the survey data can be widely used in management, such as urban planning, land use planning, land approval and land supervision.

Keywords: Urban planning; Land resource; Land change survey; Land classification; Integration (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-35548-6_21

Ordering information: This item can be ordered from
http://www.springer.com/9783642355486

DOI: 10.1007/978-3-642-35548-6_21

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().